Graduate Quantitative Trader

As a Graduate Quantitative Trader, you will undergo an extensive six-month training program that combines advanced theory with hands-on market-making experience. 

Your journey includes:

• First 4 Weeks: Mastering the fundamentals of options theory, trading systems, and tools through engaging lectures and hands-on shadowing sessions led by our experienced traders.
• Next Phase: Applying your knowledge by contributing to a research or development project aligned with your assigned desk’s current focus, working under the close guidance of a mentor quant, and supported by ongoing coaching, technical training, and performance feedback.

In this role, you will:

• Learn options theory and our business operations, then apply them by researching and designing systematic strategies rather than trading by hand.
• Build and backtest signals, pricing tools, and automated trading algorithms, and take them from idea to production within your first months.
• Spend most of your time on research and development: analysing data, testing hypotheses, and finding statistical edge.
• Monitor live strategy performance, diagnose why it deviates from expectations, and improve it.
• Enhance and extend our pricing models and volatility analytics.
• Own and improve core parts of the codebase and tech stack (Python/C++ etc., adjust to your stack). Programming is a daily, central part of the job, not a side task.
• Contribute to P&L through the strategies and tools you build; your impact is measured by the quality and performance of your systematic work rather than by discretionary trading calls. 

Your Profile:

• A Master’s degree or higher in a quantitative field: STEM, Statistics, Econometrics, Quantitative Finance (or related fields).
• Strong interest in option trading and financial markets, demonstrated through courses attended and/or experience.
• Result-driven and able to prioritize.
• Strong at pattern recognition.
• You excel at applying theoretical knowledge to practical challenges.
• Coding is second nature to you, with Python experience considered a valuable asset.
• Ready to excel in a fast-paced environment.
• Excellent verbal and written English skills.
• Currently based in Europe.

Why Join All Options?

At All Options, we offer a dynamic role with room for growth, collaboration, and recognition. Enjoy a competitive salary, bonus opportunities, profit sharing, 29 vacation days, and perks like a well-being allowance and in-house meals. Celebrate success with monthly drinks and festivities, and take advantage of our bicycle plan, NS Business Card, and the option to work from abroad.

Apply Now!

If this sounds like your next challenge, submit your CV and cover letter. Our interview process ensures we find the right fit—and if it’s a match, we can’t wait to welcome you to the team! 

About the cover letter:

Think of your cover letter as the part of your application where you add value, not repetition.

We are not interested in a summary of your CV. Instead, tell us:

• What excites you about the role beyond “markets”, "fast-paced and dynamic environment", "applying theory in practice" and “problem-solving”?
• Finish your letter with the following sentence: "I want to become a trader because…"
• Ask yourself: Why should we remember you after screening hundreds of applications?

Surprise us with something genuine. Share a motivation, experience, or perspective that does not appear on your CV.

Available start dates: March and September 2027

Please apply to only one of our graduate roles. If you apply to both, we will assign you to one recruitment process, as candidates cannot take part in both processes simultaneously.

Note that candidates who are unsuccessful at any stage of the selection process will not be reconsidered for the same or a similar role for a period of six months.